Transaction overview

Net Health, a leading provider of cloud-based electronic health record (EHR) software for specialized care settings, acquired Tissue Analytics Inc., a developer of automated mobile wound and skin imaging solutions on May 14, 2020. The acquisition aims to enhance Net Health's position in the wound care market by integrating Tissue Analytics' predictive analytics technology into its existing product offerings. While the exact financial terms were not disclosed, the deal was supported by Silversmith Capital Partners.

Deal structure and financing

The equity investment for this acquisition came from Silversmith Capital Partners, a growth equity firm that focuses on healthcare IT companies. The specific details of debt or other forms of financing are undisclosed; however, given Net Health's backing from major investors such as The Carlyle Group and Level Equity, it is likely that the deal was financed through a combination of existing capital resources and new equity investment. No information regarding seller-retained stakes, lock-up terms, or IPO optionality was provided.

Strategic context

Net Health sought to expand its wound care solutions by acquiring Tissue Analytics, which complements Net Health's WoundExpert EHR platform with predictive analytics capabilities. This move enhances the company’s ability to support clinicians and improve patient outcomes in both hospital and home settings. For Tissue Analytics, the acquisition provides a strategic partner that can scale its technology across broader healthcare networks, integrating its solutions into established EMR systems used by leading hospitals.

Regulatory path

The acquisition did not require review from any regulatory bodies due to the nature of the transaction being between private entities with no significant market impact or competitive overlap. As both companies operate in the specialized healthcare IT space without overlapping services or geographic dominance concerns, there were no antitrust hurdles or remedies required for approval.